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Titlebook: Handbook of Combinatorial Optimization; Ding-Zhu Du,Panos M. Pardalos Book 1998 Springer Science+Business Media New York 1998 algorithms.a

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發(fā)表于 2025-3-21 16:36:01 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Handbook of Combinatorial Optimization
編輯Ding-Zhu Du,Panos M. Pardalos
視頻videohttp://file.papertrans.cn/422/421052/421052.mp4
圖書封面Titlebook: Handbook of Combinatorial Optimization;  Ding-Zhu Du,Panos M. Pardalos Book 1998 Springer Science+Business Media New York 1998 algorithms.a
描述Combinatorial (or discrete) optimization is one of the most active fields in the interface of operations research, computer science, and applied math- ematics. Combinatorial optimization problems arise in various applications, including communications network design, VLSI design, machine vision, air- line crew scheduling, corporate planning, computer-aided design and man- ufacturing, database query design, cellular telephone frequency assignment, constraint directed reasoning, and computational biology. Furthermore, combinatorial optimization problems occur in many diverse areas such as linear and integer programming, graph theory, artificial intelligence, and number theory. All these problems, when formulated mathematically as the minimization or maximization of a certain function defined on some domain, have a commonality of discreteness. Historically, combinatorial optimization starts with linear programming. Linear programming has an entire range of important applications including production planning and distribution, personnel assignment, finance, alloca- tion of economic resources, circuit simulation, and control systems. Leonid Kantorovich and Tjalling Koopmans received the
出版日期Book 1998
關(guān)鍵詞algorithms; artificial intelligence; combinatorial optimization; communication; dynamical systems; graph
版次1
doihttps://doi.org/10.1007/978-1-4613-0303-9
isbn_softcover978-1-4613-7987-4
isbn_ebook978-1-4613-0303-9
copyrightSpringer Science+Business Media New York 1998
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 20:50:18 | 只看該作者
Connections between Nonlinear Programming and Discrete Optimization,l optimization problems are also discrete optimization problems but the converse is not true. A simple example is the problem of minimizing a function on the set of integer points contained in an unbounded polyhedron.
板凳
發(fā)表于 2025-3-22 03:25:46 | 只看該作者
Resource Allocation Problems,esources to be allocated. The amount of resources to be allocated to each activity is treated as a continuous or integer variable, depending on the cases. This can be viewed as a special case of the nonlinear programming problem or the nonlinear integer programming problem.
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Efficient Algorithms for Geometric Shortest Path Query Problems,ocessing a variety of queries on exact and approximate shortest paths in a number of geometric and graphical settings. Some open problems and promising directions for future research are also discussed.
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發(fā)表于 2025-3-23 03:27:18 | 只看該作者
Hugh G. Lawford,Joyce D. Rousseaul optimization problems are also discrete optimization problems but the converse is not true. A simple example is the problem of minimizing a function on the set of integer points contained in an unbounded polyhedron.
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發(fā)表于 2025-3-23 09:02:02 | 只看該作者
Conclusion: Bringing It All Back Home,esources to be allocated. The amount of resources to be allocated to each activity is treated as a continuous or integer variable, depending on the cases. This can be viewed as a special case of the nonlinear programming problem or the nonlinear integer programming problem.
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